Author: Anthony, Simon J.; Johnson, Christine K.; Greig, Denise J.; Kramer, Sarah; Che, Xiaoyu; Wells, Heather; Hicks, Allison L.; Joly, Damien O.; Wolfe, Nathan D.; Daszak, Peter; Karesh, William; Lipkin, W. I.; Morse, Stephen S.; Mazet, Jonna A. K.; Goldstein, Tracey
Title: Global patterns in coronavirus diversity Document date: 2017_6_12
ID: tboc6zyd_4
Snippet: In 2009, the PREDICT project was established, in part, to address this need. Focused on strengthening capacity and identifying viruses in wildlife at high-risk interfaces (PREDICT_Consortium 2014) , this USAID Emerging Pandemic Threats (EPT) initiative worked with local partners in twenty countries across Latin America, Africa, and Asia over 5 years to better understand the current diversity of CoVs (as well as other viruses) and evaluate the fac.....
Document: In 2009, the PREDICT project was established, in part, to address this need. Focused on strengthening capacity and identifying viruses in wildlife at high-risk interfaces (PREDICT_Consortium 2014) , this USAID Emerging Pandemic Threats (EPT) initiative worked with local partners in twenty countries across Latin America, Africa, and Asia over 5 years to better understand the current diversity of CoVs (as well as other viruses) and evaluate the factors that drive this diversity at different scales. Herein, we report a large diversity of CoV sequences (mostly from bats), show that the biogeography of bats has shaped the diversity of CoVs globally, and provide evidence to suggest there could be regional variation in host switching and the risk for zoonotic emergence.
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